Requesting storage performance models for a configuration pattern of storage resources to deploy at a client computing environment

ABSTRACT

Provided are a method, system and program for requesting storage performance models for a configuration pattern of storage resources to deploy at a client computing environment. A determination is made of a new configuration pattern of storage resources to deploy. A request is sent to a service provider with information on the new configuration pattern. A result set is received from the service provider having at least one provided configuration pattern having a degree of similarity to the new configuration pattern and a storage performance model for each of the provided configuration patterns. Each of the storage performance models indicate workload and performance characteristics for one of the provided configuration patterns. One of the provided configuration patterns is selected from the result set and the storage performance model for the selected configuration pattern is used to model performance at the client.

BACKGROUND OF THE INVENTION 1. Field of the Invention

The present invention relates to a computer program product, system, andmethod for requesting storage performance models for a configurationpattern of storage resources to deploy at a client computingenvironment.

2. Description of the Related Art

Cloud computing and software defined environments often utilize theSoftware As Service (SaaS) software distribution model whereapplications are hosted by a service provider and made available toservice consumers over the network. In a typical multi-tenant SaaSarchitecture, data from multiple companies is stored on a single serviceprovider instance, usually separated by a tenancy partition to preventthe visibility of data from one tenant to another. Standardized logicaltenancy partitions are established for the different tenants housed onthe same service provider instance. In such a model, service providerapplication resources (such as repository/database instance(s),application server instance(s)) are multiplexed and used. However, thestorage devices used by the tenants are separately managed so that thetenants have separate storage resources to store their data, which maybe confidential and cannot be shared.

SUMMARY

Provided are a method, system and program for requesting storageperformance models for a configuration pattern of storage resources todeploy at a client computing environment. A determination is made of anew configuration pattern of storage resources to deploy in the clientconfiguration environment. A request is sent to a service provider withinformation on the new configuration pattern. A result set is receivedfrom the service provider having information on at least one providedconfiguration pattern having a degree of similarity to the newconfiguration pattern and a storage performance model for each of theprovided configuration patterns. Each of the storage performance modelsindicate workload and performance characteristics for one of theprovided configuration patterns. One of the provided configurationpatterns is selected from the result set and the storage performancemodel for the selected configuration pattern is used to modelperformance at the client computing environment of the new configurationpattern of storage resources.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an embodiment of a client computing environment.

FIG. 2 illustrates an embodiment of components of a client computingenvironment.

FIG. 3 illustrates an embodiment of components of a service provider.

FIG. 4 illustrates an embodiment of a published configuration pattern.

FIG. 5 illustrates an embodiment of similar storage attribute sets for sstorage attribute type.

FIG. 6 illustrates an embodiment of operations for a client computingenvironment to publish a configuration pattern.

FIG. 7 illustrates an embodiment of operations by a client computingenvironment to request published configuration patterns for a newconfiguration pattern of storage resources at the client.

FIG. 8 illustrates an embodiment of operations by a service provider tomanage a catalog of published configuration patterns.

FIG. 9 illustrates an embodiment of operations to process a request froma client computing environment for published configuration patternssimilar to a requested configuration pattern.

FIG. 10 depicts an embodiment of a cloud computing node.

FIG. 11 depicts an embodiment of a cloud computing environment.

FIG. 12 depicts an embodiment of abstraction model layers of a cloudcomputing environment.

DETAILED DESCRIPTION

Described embodiments provide techniques for allowing client systems orcomputing environments to publish information on their storageconfiguration patterns of storage resources and a storage performancemodel providing a model of the performance of the storage configurationpattern with a central service provider. The central service providermay then make the published storage configurations and storageperformance models available to other client systems to access when theydeploy similar storage configuration patterns. The clients may want toobtain a storage performance model for a similar published storageconfiguration pattern to use to determine how to deploy storageresources. This allows clients to share storage performance models fromother clients in the system, which may be sharing a same softwareservice. By sharing the published configuration patterns, a client doesnot have to construct the storage performance model for a newly deployedstorage configuration pattern for which the client does not haveinformation.

FIG. 1 illustrates an embodiment of a network service providerenvironment 100, such as a cloud computing environment, having one ormore client computing environments 200 ₁, 200 ₂ . . . 200 _(n) and acentral service provider 300 that communicate over a network 102. Eachclient computing environment 200 ₁, 200 ₂ . . . 200 _(n) has storageresources configured for use with a software service managed by theservice provider 300. In one embodiment, the service provider 300 mayprovide a software as a service (SaaS) architecture to the clients 200₁, 200 ₂ . . . 200 _(n), which may comprise tenants that receive thesoftware service from the service provider 300. For instance, in amulti-tenant architecture, the service provider 300 provides everytenant/client a dedicated share of the instance including its data,configuration, user management, tenant individual functionality andnon-functional properties. In an alternative embodiment, the serviceprovider 300 may implement a multi-instance architecture where separatesoftware service instances operate on behalf of the different tenants200 ₁, 200 ₂ . . . 200 _(n). Although each client 200 ₁, 200 ₂ . . . 200_(n) may receive the software services from the service provider 300,each client 200 ₁, 200 ₂ . . . 200 _(n) maintains separate storageresources for use in the environment 100.

The network 102 may comprise a Storage Area Network (SAN), Local AreaNetwork (LAN), Intranet, the Internet, Wide Area Network (WAN),peer-to-peer network, wireless network, arbitrated loop network, etc.

FIG. 2 illustrates an embodiment of an instance of the client computingenvironment, such as the clients 200 ₁, 200 ₂ . . . 200 _(n), whichincludes a configuration pattern publisher 202 to publish information ona configuration pattern of storage resources 204 dedicated to the client200 _(i) at the service provider 300. The storage configuration patternof deployed storage resources 204 may indicate an enclosure type, disktypes, encryption settings, compression settings, storage configuration,Redundant Array of Independent Disk (RAID) configuration, etc. Theclient 200 _(i) may further include a configuration pattern provisioner206 that provisions and deploys storage resources 204 at the client 200_(i); a local catalog 208 having information on storage configurationpatterns and storage performance models for those patterns provided byother clients 200 ₁, 200 ₂ . . . 200 _(n); and an agent 210 to interactwith the service provider 300 to obtain software services and performstorage management operations.

The storage resources 204 may be comprised of one or more storagedevices, or an array of storage devices configured as Just a Bunch ofDisks (JBOD), Direct Access Storage Device (DASD), Redundant Array ofIndependent Disks (RAID) array, virtualization device, tape storage,flash memory, etc. The storage devices included in the storage resources204 may comprise hard disk drives, solid state drives (SSD) comprised ofsolid state electronics, flash memory, flash disk, Random Access Memory(RAM) drive, EEPROM (Electrically Erasable Programmable Read-OnlyMemory), Phase Change Memory, Resistive Memory, storage-class memory(SCM), etc., magnetic storage disk, optical disk, tape, etc.

FIG. 3 illustrates an embodiment of the components of the serviceprovider 300 as including a configuration pattern catalog 400 having thepublished configuration patterns from the clients 200 ₁, 200 ₂ . . . 200_(n); a catalog manager 304 to perform catalog 400 managementoperations, such as updating the catalog 400 and responding to client200 ₁, 200 ₂ . . . 200 _(n) requests with respect to the catalog 304; asoftware service manager 306 to provide the software service 308 to theclients 200 ₁, 200 ₂ . . . 200 _(n), such as a SaaS type softwareservice model; similar storage attribute sets 500 which indicate storageattribute values for storage attribute types that are considered similarfor the purpose of determining similar configuration patterns in theconfiguration pattern catalog 400; and client information 310 havinginformation on the clients 200 ₁, 200 ₂ . . . 200 _(n) subscribing tothe software service 308, which includes privileges the clients 200 ₁,200 ₂ . . . 200 _(n) have to access published configuration patterns inthe catalog 400 and storage performance models to which the clients 200₁, 200 ₂ . . . 200 _(n) subscribe.

FIG. 4 illustrates an embodiment of a published configuration pattern400 _(i) instance in the catalog 400, and includes a client identifier402 identifying the client 200 ₁, 200 ₂ . . . 200 _(n) that publishedthe pattern 400 _(i); the actual configuration pattern comprisingdetailed information on storage attributes values for storage attributetypes of the storage resource 204 deployed at the client 402, including,but not limited to, an enclosure type, disk types, encryption settings,compression settings, storage configuration, Redundant Array ofIndependent Disk (RAID) configuration, JBOD configuration, etc.; astorage performance model 406 comprising a model of storage performance,such as derived from determined storage performance metrics andexpresses the storage performance metrics as a function of a variable.Examples of storage performance models include an Input/Output (I/O)performance latency curve, estimated I/O peak, Input/Output, I/Oresponse time as a function of additional I/O traffic, storageutilization, and other models that model response time and storageperformance with respect to different loads, used to determine howstorage responds to different loads.

The published configuration pattern 400 _(i) further includes aconfidence level 408 indicating a degree of confidence in the storageperformance model 406. The confidence level 408 may indicate a degree ofdetail of an internal structure of the storage resources 204 consideredin determining the storage metrics. In one embodiment, the confidencelevel may be based on whether black box, white box, or grey box testingwere used to determine the storage performance model 406, where whitebox has the highest confidence level, grey box the next highestconfidence level, and black box the lowest confidence level.

A storage performance model 406 determined according to white boxtesting involves a determination of storage metrics that tests theinternal structures and working of the storage resources 204, whichrequires knowledge of the specific disk drives, their configuration,RAID array or Just a Bunch of Disk (JBOD) configuration, encryption,enclosures, etc. A storage performance model 406 determined according toblack box testing does not consider the internal structures andarrangement of the storage resources 204, but considers the operationand results of the storage resources 204 as a whole, such as from a highlevel system view. A storage performance model 406 determined accordingto grey box testing is a combination of the white box and black boxtesting, which considers certain of the internal structures, but not asmany as white box testing, such as the type of underlying storagedevices, etc., but more of the internal structures than considered underblack box testing.

FIG. 5 illustrates an embodiment of an instance 500 _(i) of similarstorage attribute sets for a storage attribute type, and includes astorage attribute type 502 for which the sets are provided, and one ormore sets 504 ₁ . . . 504 _(n) of similar storage attribute values forthe storage attribute type 502, such that each set indicates storageattribute values that are considered similar, such as different valuesfor disk types or numbers, RAID array configuration. Similarity may bebased on storage performance, such that different storage configurationsand attribute values are considered similar if they produce a similarstorage performance model.

FIG. 6 illustrates an embodiment of operations performed by theconfiguration pattern publisher 202 in a client 200 _(i) to publish aconfiguration pattern of the storage resources 204 being deployed at theclient 200 _(i). Upon initiating the publishing operation (at block600), the configuration pattern publisher 202 determines (at block 602)a configuration pattern of storage resources within the client computingenvironment indicating storage attribute values for storage attributetypes s (e.g., an enclosure type, disk type, encryption settings,compression settings, storage configuration, Redundant Array ofIndependent Disk (RAID) configuration) settings, Just a Bunch of Disk(JBOD) settings, etc. The configuration pattern publisher 202 determines(at block 604) storage performance metrics for the determinedconfiguration pattern of storage resources 204 within the client 200_(i). The storage performance metrics may be determined by examining thepublished performance capabilities of the storage resources 204, such asdisks, RAID controller, etc. In further embodiments, the storageperformance metrics may be determined by the client 200 _(i) monitoringactual Input/Output (I/O) response time at the storage resources 204 andthe sub-components of the storage resources 204 if a more detailed levelof the internal structures is considered, such as the case with whiteand grey box testing models.

The configuration pattern publisher 202 analyzes (at block 606) thestorage performance metrics including storage performance and workloadat the configuration pattern of the storage resources 204 and determines(at block 608) at least one storage performance model based on thedetermined and analyzed storage performance metrics. The storageperformance model may comprise a function modeling a response of thestorage resources to workload, such as an Input/Output (I/O) performancelatency curve, estimated I/O peak, Input/Output, I/O response time as afunction of additional I/O traffic, storage utilization, etc. Thepublisher 202 may determine one or more different performance models topublish. The configuration pattern publisher 202 may further determine(at block 610) a confidence level indicating a degree of detail of aninternal structure of the storage pattern considered in determining thestorage metrics, such as whether the performance metrics were consideredusing a white box, grey box or black box level of detail of theconsidered storage performance metrics. The publisher 202 provides,i.e., publishes, (at block 612) to the service provider 300 thepublished configuration pattern 400 _(i) having the at least one storageperformance model 406, the confidence level 408 and the configurationpattern 404 of the storage resources 204 for which the storageperformance metrics were determined.

FIG. 7 illustrates an embodiment of operations performed by theconfiguration pattern provisioner 206 to obtain a publishedconfiguration pattern 400 _(i) from the service provider 300 to use toprovision new storage resources in the client 200 _(i). Upon initiating(at block 700) operations to obtain the storage performance model, theprovisioner 206 determines (at block 702) a new configuration pattern ofstorage resources 204 to deploy at the client 200 _(i). If (at block704) the local catalog 208 has a published configuration pattern 400_(i) for a configuration pattern 404 similar to that of the newconfiguration pattern, then the provisioner 206 selects (at block 706)the determined storage performance model 406 in the local catalog 208 ofthe published configuration pattern 400 _(i) having a similarconfiguration pattern 404 and having a highest confidence level 408 ifthere are multiple similar configuration patterns in the local catalog208. The provisioner 206 may determine a similar configuration from thepublished configuration patterns 400 _(i) in the local catalog 208 thathave storage attribute values for storage attribute types that areidentical or indicated in the same set of similar attribute values 504 ₁. . . 504 _(n) for the storage attribute type 502.

If (at block 704) the local catalog 208 does not have a publishedconfiguration pattern 400 _(i) with a similar storage pattern, then theprovisioner 206 sends (at block 708) a request to the service provider300 with information on the new configuration pattern. The provisioner206 may then receive (at block 710) from the service provider 300 aresult set of at least one published configuration pattern 400 _(i)having a degree of similarity to the new storage pattern, and a storageperformance model 406 and confidence level 408 for each of the providedconfiguration patterns. The provisioner 206 may store (at block 712) thereceived published configuration patterns 400 _(i) in the local catalog208.

The provisioner 206 selects (at block 714) one of the provided publishedconfiguration patterns and storage performance models in the result set,such as the one having the highest confidence level. The provisioner 206may then use (at block 716) the storage performance model for theselected configuration pattern to model performance at the clientcomputing environment of the new configuration pattern of storageresources. For instance, the provisioner 206 may use the selectedstorage performance model to determine the best storage placement in thenew provisioned storage resources 204 for a new software service 308 towhich the client 200 _(i) is subscribing from the service provider 300.

FIG. 8 illustrates an embodiment of operations performed by the catalogmanager 304 of the service provider 300 to manage the catalog 400. Whenmanaging (at block 800) the catalog 400, the catalog manager 304 mayreceive (at block 802) from the client computing environments 200 ₁, 200₂ . . . 200 _(n) published configuration patterns 400 _(i) of storageresources 204 and storage performance models 406 for the publishedconfiguration patterns 400 _(i). The received published storageperformance models may be based on storage performance and workloadsrealized at the configuration patterns of the storage resources, andinclude a confidence level 408. The catalog manager 304 stores (at block804) information on the received published configuration patterns 400_(i) and their storage performance models 406 and confidence levels 408in the catalog 400.

FIG. 9 illustrates an embodiment of operations performed by the catalogmanager 304 to process a request for a published configuration patternthat is similar to a requested new configuration pattern of storageresources 204 to be deployed and provisioned at the requesting client200 _(i). Upon receiving (at block 900) a request from a requestingclient computing environment 200 _(i) for a storage performance modelfor a requested configuration pattern of storage resources 204 to bedeployed at the client computing environment 200 _(i), the catalogmanager 500 determines (at block 902) whether the requesting client 200_(i) has privileges indicated in the client information 310 allowingaccess to subscribe to storage performance models for publishedconfiguration patterns in the catalog 400. If (at block 902) therequesting client 200 _(i) does not have privileges to access publishedconfiguration patterns, then the catalog manager 500 returns (at block904) a response that access is denied for the request to the requestingclient 200 _(i). If (at block 902) the requesting client 200 _(i) doeshave sufficient privileges, then the catalog manager 304 determines (atblock 906) whether the catalog 400 has at least one publishedconfiguration pattern 400 _(i) that has storage attribute values forstorage attribute types that are identical or similar to the requestednew configuration pattern for the requesting client 200 _(i). Apublished configuration pattern 404 may be deemed similar if it hasstorage attribute values that are in the same set of similar storageattribute values 504 ₁ . . . 504 _(n) for the storage attribute valuesof the requested configuration pattern for storage attribute types.

If (at block 906) the catalog 400 does not have at least on publishedconfiguration pattern 400 _(i) that matches or is similar to therequested configuration pattern, then the catalog manager 304 returns(at block 908) a response to the requesting client 200 _(i) indicatingthat there are no similar published configuration patterns for the newstorage resources 204 being deployed at the requesting client 200 _(i).If (at block 906) the catalog 400 has at least on publishedconfiguration pattern 400 _(i) that matches or is similar to therequested configuration pattern, then the catalog manager 304 determines(at block 910) whether the similar published configuration patterns 400_(i) have a storage performance 406 model to which the requesting client200 _(i) subscribes as indicated in the client information 310. If (atblock 910) there are no determined published configuration patternshaving a storage performance model 406 to which the requesting client200 _(i) subscribes, then the catalog manager 304 returns (at block 912)a response indicating there is no similar published configurationpatterns with subscribed storage performance models. Otherwise, if (atblock 910) there are similar published configuration patterns 400 _(i)having storage performance models 406 to which the client 200 _(i)subscribes, then the catalog manager 304 generates (at block 914) aresult set indicating the determined at least one publishedconfiguration pattern having the subscribed storage performance model406. The result set is then sent (at block 916) to the requesting client200 _(i) to use as described with respect to FIG. 7.

In embodiments where the client computing environments comprise tenantsin a multi-tenancy environment that share a software service provided bya central service provider, described techniques are provided forabstracting, sharing, and managing black box storage information acrosstenant in a Software as Service (SaaS) environment. Due to theheterogeneity of storage devices in Software-Defined Environment andSoftware-Defined Storage, white box models may not be attainable since astorage resource may consist of multiple customized configurations ofcommodity storage devices. Therefore, black box performance models areusually used in such environments which rely on observation of theInput/Output and response time, among other performance characteristics,such as IO density. However, if a tenant does not have prior knowledgeof a new storage device, black box modeling techniques cannot beapplied.

In described SaaS environments, the central service provider has aglobal view of all tenants. In such case, the central service provider300 specifies the taxonomy and syntax of the characteristics of storagedevices in all tenants, e.g., clients 200 _(i), and an agent on eachtenant, e.g., configuration pattern publisher 202, will publish therequired knowledge of storage devices within that tenant so that eachtenant can subscribe to the specific model that is needed from theservice provider. The storage performance models to which tenants maysubscribe may include a response time change curve along with IOchanges. When the central service provider receives a request for astorage performance model from a subscriber (i.e., a tenant), thecentral service provider will search the available knowledge (e.g.,black box models) from all publishers (i.e., registered tenants) for thematched model. If an exact match is found, the service provider canreturn this model knowledge to the subscriber, e.g., “Another tenant hasthe same type of storage device X with same configurations, itsIO-latency curve is captured by function F, and its estimated peak IO isP, . . . ” Therefore, this tenant can obtain the knowledge from othertenants via the service provider. Each tenant can be a subscriber or apublisher, or both.

Cloud Computing Embodiments

It is understood in advance that although this disclosure includes adetailed description on cloud computing, implementation of the teachingsrecited herein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g. networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based e-mail).The consumer does not manage or control the underlying cloudinfrastructure including network, servers, operating systems, storage,or even individual application capabilities, with the possible exceptionof limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure comprising anetwork of interconnected nodes.

Referring now to FIG. 10, a schematic of an example of a cloud computingnode is shown, such as the nodes 200 ₁, 200 ₂ . . . 200 _(n) and 300.Cloud computing node 1000 is only one example of a suitable cloudcomputing node and is not intended to suggest any limitation as to thescope of use or functionality of embodiments of the invention describedherein. Regardless, cloud computing node 1000 is capable of beingimplemented and/or performing any of the functionality set forthhereinabove.

In cloud computing node 1000 there is a computer system/server 1002,which is operational with numerous other general purpose or specialpurpose computing system environments or configurations. Examples ofwell-known computing systems, environments, and/or configurations thatmay be suitable for use with computer system/server 1002 include, butare not limited to, personal computer systems, server computer systems,thin clients, thick clients, hand-held or laptop devices, multiprocessorsystems, microprocessor-based systems, set top boxes, programmableconsumer electronics, network PCs, minicomputer systems, mainframecomputer systems, and distributed cloud computing environments thatinclude any of the above systems or devices, and the like.

Computer system/server 1002 may be described in the general context ofcomputer system-executable instructions, such as program modules, beingexecuted by a computer system. Generally, program modules may includeroutines, programs, objects, components, logic, data structures, and soon that perform particular tasks or implement particular abstract datatypes. Computer system/server 1002 may be practiced in distributed cloudcomputing environments where tasks are performed by remote processingdevices that are linked through a communications network. In adistributed cloud computing environment, program modules may be locatedin both local and remote computer system storage media including memorystorage devices.

As shown in FIG. 10, computer system/server 1002 in cloud computing node1000 is shown in the form of a general-purpose computing device. Thecomponents of computer system/server 1002 may include, but are notlimited to, one or more processors or processing units 1004, a systemmemory 1006, and a bus 1008 that couples various system componentsincluding system memory 1006 to processor 1004.

Bus 1008 represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnects (PCI) bus.

Computer system/server 1002 typically includes a variety of computersystem readable media. Such media may be any available media that isaccessible by computer system/server 1002, and it includes both volatileand non-volatile media, removable and non-removable media.

System memory 1006 can include computer system readable media in theform of volatile memory, such as random access memory (RAM) 1010 and/orcache memory 1012. Computer system/server 1002 may further include otherremovable/non-removable, volatile/non-volatile computer system storagemedia. By way of example only, storage system 1013 can be provided forreading from and writing to a non-removable, non-volatile magnetic media(not shown and typically called a “hard drive”). Although not shown, amagnetic disk drive for reading from and writing to a removable,non-volatile magnetic disk (e.g., a “floppy disk”), and an optical diskdrive for reading from or writing to a removable, non-volatile opticaldisk such as a CD-ROM, DVD-ROM or other optical media can be provided.In such instances, each can be connected to bus 1008 by one or more datamedia interfaces. As will be further depicted and described below,memory 1006 may include at least one program product having a set (e.g.,at least one) of program modules that are configured to carry out thefunctions of embodiments of the invention.

Program/utility 1014, having a set (at least one) of program modules1016, may be stored in memory 1006 by way of example, and notlimitation, as well as an operating system, one or more applicationprograms, other program modules, and program data. Each of the operatingsystem, one or more application programs, other program modules, andprogram data or some combination thereof, may include an implementationof a networking environment. Program modules 1016 generally carry outthe functions and/or methodologies of embodiments of the invention asdescribed herein.

Computer system/server 1002 may also communicate with one or moreexternal devices 1018 such as a keyboard, a pointing device, a display1020, etc.; one or more devices that enable a user to interact withcomputer system/server 1002; and/or any devices (e.g., network card,modem, etc.) that enable computer system/server 1002 to communicate withone or more other computing devices. Such communication can occur viaInput/Output (I/O) interfaces 1022. Still yet, computer system/server1002 can communicate with one or more networks such as a local areanetwork (LAN), a general wide area network (WAN), and/or a publicnetwork (e.g., the Internet) via network adapter 20. As depicted,network adapter 1024 communicates with the other components of computersystem/server 1002 via bus 1008. It should be understood that althoughnot shown, other hardware and/or software components could be used inconjunction with computer system/server 1002. Examples, include, but arenot limited to: microcode, device drivers, redundant processing units,external disk drive arrays, RAID systems, tape drives, and data archivalstorage systems, etc.

Referring now to FIG. 11, illustrative cloud computing environment 1100is depicted. As shown, cloud computing environment 1100 comprises one ormore cloud computing nodes 1000 with which local computing devices usedby cloud consumers, such as, for example, personal digital assistant(PDA) or cellular telephone 1102A, desktop computer 1102B, laptopcomputer 1102C, and/or automobile computer system 1102N may communicate.Nodes 1000 may communicate with one another. They may be grouped (notshown) physically or virtually, in one or more networks, such asPrivate, Community, Public, or Hybrid clouds as described hereinabove,or a combination thereof. This allows cloud computing environment 110 tooffer infrastructure, platforms and/or software as services for which acloud consumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 1102A-Nshown in FIG. 11 are intended to be illustrative only and that computingnodes 1000 and cloud computing environment 1100 can communicate with anytype of computerized device over any type of network and/or networkaddressable connection (e.g., using a web browser).

Referring now to FIG. 12, a set of functional abstraction layersprovided by cloud computing environment 1100 (FIG. 11) is shown. Itshould be understood in advance that the components, layers, andfunctions shown in FIG. 12 are intended to be illustrative only andembodiments of the invention are not limited thereto. As depicted, thefollowing layers and corresponding functions are provided:

Hardware and software layer 1202 includes hardware and softwarecomponents. Examples of hardware components include: mainframes; RISC(Reduced Instruction Set Computer) architecture based servers; storagedevices; networks and networking components. In some embodiments,software components include network application server software.

Virtualization layer 1204 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers;virtual storage; virtual networks, including virtual private networks;virtual applications and operating systems; and virtual clients.

In one example, management layer 1206 may provide the functionsdescribed below. Resource provisioning provides dynamic procurement ofcomputing resources and other resources that are utilized to performtasks within the cloud computing environment. Metering and Pricingprovide cost tracking as resources are utilized within the cloudcomputing environment, and billing or invoicing for consumption of theseresources. In one example, these resources may comprise applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal provides access to the cloud computing environment forconsumers and system administrators. Service level management providescloud computing resource allocation and management such that requiredservice levels are met. Service Level Agreement (SLA) planning andfulfillment provide pre-arrangement for, and procurement of, cloudcomputing resources for which a future requirement is anticipated inaccordance with an SLA.

Workloads layer 1208 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation; software development and lifecycle management; virtualclassroom education delivery; data analytics processing; transactionprocessing; and components of the computing environment 100, includingconfiguration pattern publisher 202, configuration pattern provisioner206, the catalog manager 304, software service manager 306, and thesoftware service 308.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Java, Smalltalk, C++ or the like,and conventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

The letter designators, such as i and n, used to designate a number ofinstances of an element may indicate a variable number of instances ofthat element when used with the same or different elements.

The terms “an embodiment”, “embodiment”, “embodiments”, “theembodiment”, “the embodiments”, “one or more embodiments”, “someembodiments”, and “one embodiment” mean “one or more (but not all)embodiments of the present invention(s)” unless expressly specifiedotherwise.

The terms “including”, “comprising”, “having” and variations thereofmean “including but not limited to”, unless expressly specifiedotherwise.

The enumerated listing of items does not imply that any or all of theitems are mutually exclusive, unless expressly specified otherwise.

The terms “a”, “an” and “the” mean “one or more”, unless expresslyspecified otherwise.

Devices that are in communication with each other need not be incontinuous communication with each other, unless expressly specifiedotherwise. In addition, devices that are in communication with eachother may communicate directly or indirectly through one or moreintermediaries.

A description of an embodiment with several components in communicationwith each other does not imply that all such components are required. Onthe contrary a variety of optional components are described toillustrate the wide variety of possible embodiments of the presentinvention.

When a single device or article is described herein, it will be readilyapparent that more than one device/article (whether or not theycooperate) may be used in place of a single device/article. Similarly,where more than one device or article is described herein (whether ornot they cooperate), it will be readily apparent that a singledevice/article may be used in place of the more than one device orarticle or a different number of devices/articles may be used instead ofthe shown number of devices or programs. The functionality and/or thefeatures of a device may be alternatively embodied by one or more otherdevices which are not explicitly described as having suchfunctionality/features. Thus, other embodiments of the present inventionneed not include the device itself.

The foregoing description of various embodiments of the invention hasbeen presented for the purposes of illustration and description. It isnot intended to be exhaustive or to limit the invention to the preciseform disclosed. Many modifications and variations are possible in lightof the above teaching. It is intended that the scope of the invention belimited not by this detailed description, but rather by the claimsappended hereto. The above specification, examples and data provide acomplete description of the manufacture and use of the composition ofthe invention. Since many embodiments of the invention can be madewithout departing from the spirit and scope of the invention, theinvention resides in the claims herein after appended.

What is claimed is:
 1. A computer program product for requesting storageperformance information from a service provider for storage resources ata client computing environment, wherein the computer program productcomprises a non-transitory computer readable storage medium havingprogram code that when executed by a processor causes operations to beperformed, the operations comprising: sending a request to a serviceprovider with information of a new configuration pattern of storageresources to deploy in the client computing environment; receiving, fromthe service provider, a configuration pattern data structure determinedby the service provider to be similar to the new configuration patternand including a configuration pattern of storage resources includingattributes values for storage attributes of the storage resourcesdeployed at a client supplying the configuration pattern data structureto the service provider, a storage performance model created forworkloads at the configuration pattern of storage resources based onstorage performance metrics for the configuration pattern of storageresources within a computing environment of the client supplying theconfiguration pattern data structure, and a confidence level indicatinga degree of detail of an internal structure of the storage resourcesconsidered in determining the storage performance metrics, wherein theconfidence level is based on whether one of black box testing, white boxtesting, and grey box testing is used to determine the confidence level,wherein the white box testing results in a highest confidence level, thegrey box testing results in a next highest confidence level below thehighest confidence level, and the black box testing results in a lowestconfidence level; and applying the storage performance model for theconfiguration pattern data structure to model performance at the clientcomputing environment to determine provisioning of the new configurationpattern of storage resources.
 2. The computer program product of claim1, wherein the storage performance model indicates workload andperformance characteristics for the configuration pattern of storageresources based on storage performance metrics as a function ofdifferent workloads at the configuration pattern of storage resourcesthat models how the configuration pattern of storage resources respondsto different workloads in the computing environment of the clientsupplying the configuration pattern data structure.
 3. The computerprogram product of claim 1, wherein the operations further comprise:requesting a new software service from the service provider, wherein thenew configuration pattern supports the new software service, wherein theapplying the storage performance model comprises applying the storageperformance model to determine provisioning of the new configurationpattern of storage resources to be used for the new software service. 4.The computer program product of claim 1, wherein the receiving theconfiguration pattern data structure comprises receiving a result set ofa plurality of configuration pattern data structures supplied bydifferent clients having different computing environments, wherein theoperations further comprise: selecting a configuration pattern datastructure of the plurality of configuration pattern data structures inthe result set, wherein the applied storage performance model for theconfiguration pattern data structure comprises the storage performancemodel for the selected configuration pattern data structure in theresult set.
 5. The computer program product of claim 4, wherein each ofthe configuration pattern data structures in the result set includes aconfidence level indicating a degree of detail of an internal structureof the storage resources considered in determining the storageperformance metrics, wherein the selected configuration pattern datastructure comprises a configuration pattern data structure having ahighest confidence level of the configuration pattern data structures inthe result set.
 6. The computer program product of claim 1, wherein theoperations further comprise: determining whether a local catalogincludes one or more published configuration patterns similar to the newconfiguration pattern; and selecting a published configuration patternin the local catalog having a similar configuration pattern to the newconfiguration pattern and highest confidence level if there are multiplepublished configuration patterns in the local catalog having similarconfiguration patterns, wherein the sending the request to the serviceprovider is performed in response to determining that there is nopublished configuration pattern in the local catalog having a similarconfiguration pattern.
 7. The computer program product of claim 1,wherein the storage performance model for each provided configurationpattern comprises at least one of an Input/Output (I/O) performancelatency curve, estimated I/O peak, Input/Output, I/O response time as afunction of additional I/O traffic, and storage utilization.
 8. A systemimplementing a client computing environment having storage resources andin communication with a service provider, comprising: a processor; acomputer readable storage medium having program code that when executedcauses operations to be performed, the operations comprising: sending arequest to a service provider with information of a new configurationpattern of storage resources to deploy in the client computingenvironment; receiving, from the service provider, a configurationpattern data structure determined by the service provider to be similarto the new configuration pattern and including a configuration patternof storage resources including attributes values for storage attributesof the storage resources deployed at a client supplying theconfiguration pattern data structure to the service provider, a storageperformance model created for workloads at the configuration pattern ofstorage resources based on storage performance metrics for theconfiguration pattern of storage resources within a computingenvironment of the client supplying the configuration pattern datastructure, and a confidence level indicating a degree of detail of aninternal structure of the storage resources considered in determiningthe storage performance metrics, wherein the confidence level is basedon whether one of black box testing, white box testing, and grey boxtesting is used to determine the confidence level, wherein the white boxtesting results in a highest confidence level, the grey box testingresults in a next highest confidence level below the highest confidencelevel, and the black box testing results in a lowest confidence level;and applying the storage performance model for the configuration patterndata structure to model performance at the client computing environmentto determine provisioning of the new configuration pattern of storageresources.
 9. The system of claim 8, wherein the storage performancemodel indicates workload and performance characteristics for theconfiguration pattern of storage resources based on storage performancemetrics as a function of different workloads at the configurationpattern of storage resources that models how the configuration patternof storage resources responds to different workloads in the computingenvironment of the client supplying the configuration pattern datastructure.
 10. The system of claim 8, wherein the operations furthercomprise: requesting a new software service from the service provider,wherein the new configuration pattern supports the new software service,wherein the applying the storage performance model comprises applyingthe storage performance model to determine provisioning of the newconfiguration pattern of storage resources to be used for the newsoftware service.
 11. The system of claim 8, wherein the receiving theconfiguration pattern data structure comprises receiving a result set ofa plurality of configuration pattern data structures supplied bydifferent clients having different computing environments, wherein theoperations further comprise: selecting a configuration pattern datastructure of the plurality of configuration pattern data structures inthe result set, wherein the applied storage performance model for theconfiguration pattern data structure comprises the storage performancemodel for the selected configuration pattern data structure in theresult set.
 12. The system of claim 11, wherein each of theconfiguration pattern data structures in the result set includes aconfidence level indicating a degree of detail of an internal structureof the storage resources considered in determining the storageperformance metrics confidence in the storage performance models in theconfiguration pattern data structures, wherein the selectedconfiguration pattern data structure comprises a configuration patterndata structure having a highest confidence level of the configurationpattern data structures in the result set.
 13. The system of claim 8,wherein the operations further comprise: determining whether a localcatalog includes one or more published configuration patterns similar tothe new configuration pattern; and selecting a published configurationpattern in the local catalog having a similar configuration pattern tothe new configuration pattern and highest confidence level if there aremultiple published configuration patterns in the local catalog havingsimilar configuration patterns, wherein the sending the request to theservice provider is performed in response to determining that there isno published configuration pattern in the local catalog having a similarconfiguration pattern.
 14. The system of claim 8, wherein the storageperformance model for each provided configuration pattern comprises atleast one of an Input/Output (I/O) performance latency curve, estimatedI/O peak, Input/Output, I/O response time as a function of additionalI/O traffic, and storage utilization.
 15. A method performed by aprocessor executing program code in a computer readable storage mediumfor deploying storage resources at a client computing environment,comprising: sending a request to a service provider with information ofa new configuration pattern of storage resources to deploy in the clientcomputing environment; receiving, from the service provider, aconfiguration pattern data structure determined by the service providerto be similar to the new configuration pattern and including aconfiguration pattern of storage resources including attributes valuesfor storage attributes of the storage resources deployed at a clientsupplying the configuration pattern data structure to the serviceprovider, a storage performance model created for workloads at theconfiguration pattern of storage resources based on storage performancemetrics for the configuration pattern of storage resources within acomputing environment of the client supplying the configuration patterndata structure, and a confidence level indicating a degree of detail ofan internal structure of the storage resources considered in determiningthe storage performance metrics, wherein the confidence level is basedon whether one of black box testing, white box testing, and grey boxtesting is used to determine the confidence level, wherein the white boxtesting results in a highest confidence level, the grey box testingresults in a next highest confidence level below the highest confidencelevel, and the black box testing results in a lowest confidence level;and applying the storage performance model for the configuration patterndata structure to model performance at the client computing environmentto determine provisioning of the new configuration pattern of storageresources.
 16. The method of claim 15, wherein the storage performancemodel indicates workload and performance characteristics for theconfiguration pattern of storage resources based on storage performancemetrics as a function of different workloads at the configurationpattern of storage resources that models how the configuration patternof storage resources responds to different workloads in the computingenvironment of the client supplying the configuration pattern datastructure.
 17. The method of claim 15, further comprising: requesting anew software service from the service provider, wherein the newconfiguration pattern supports the new software service, wherein theapplying the storage performance model comprises applying the storageperformance model to determine provisioning of the new configurationpattern of storage resources to be used for the new software service.18. The method of claim 15, wherein the receiving the configurationpattern data structure comprises receiving a result set of a pluralityof configuration pattern data structures supplied by different clientshaving different computing environments, further comprising: selecting aconfiguration pattern data structure of the plurality of configurationpattern data structures in the result set, wherein the applied storageperformance model for the configuration pattern data structure comprisesthe storage performance model for the selected configuration patterndata structure in the result set.
 19. The method of claim 18, whereineach of the configuration pattern data structures in the result setincludes a confidence level indicating a degree of detail of an internalstructure of the storage resources considered in determining the storageperformance metrics, wherein the selected configuration pattern datastructure comprises a configuration pattern data structure having ahighest confidence level of the configuration pattern data structures inthe result set.
 20. The method of claim 15, further comprising:determining whether a local catalog includes one or more publishedconfiguration patterns similar to the new configuration pattern; andselecting a published configuration pattern in the local catalog havinga similar configuration pattern to the new configuration pattern andhighest confidence level if there are multiple published configurationpatterns in the local catalog having similar configuration patterns,wherein the sending the request to the service provider is performed inresponse to determining that there is no published configuration patternin the local catalog having a similar configuration pattern.